Seven lessons for effective information management

Indonesia's young generation must be ready to become actors in the midst of global competition and free markets (AFTA) today. However, they must be prepared to face the challenges of the development of mass media that contribute to the formation of their personality. This paper raises the problem: (1) How is educational information management for adolescents? (2) What is the communication strategy that needs to be applied in shaping adolescent personality? The data collection process is carried out by observation, documentation study and in-depth interviews with 15 informants from among educators, observers of adolescent culture, managers and representative media observers. The results of the study indicate that information circulating from the internet and mass media today tends to be less educative. Among them are teaching violent behavior, not creative, luxurious lifestyle without effort, individualism and materialism. Furthermore, communication strategies undertaken by stakeholders are not yet synergistic in supporting the education and development of adolescent personalities. The implementation of media regulations that support education has not been effective, nor has the role of educational institutions, the role of families, and environmental conditions in society also been conducive to delivering healthy, intelligent, independent and responsible future generations. For this reason, effective information management and communication strategies to support the formation of future adolescent personalities need to be developed.
 

Managers’ perception of information management and the role of information and knowledge managers: The Malaysian perspectives

Many organizations depend on the success of rapidly deployed, limited time frame and multipartner projects as an important element of their business strategies. Information management is regarded as a critical and upmost important issue, especially in projects. Complex projects require additional team collaboration and a consistent information management strategy to support the development of the project. This paper reports the findings of an exploratory study on information management barriers in complex projects, particularly focusing issues and difficulties recognized by project participants and managers. Our study intends to fill the gap in empirical research regarding this subject and to provide new insights for project managers of complex projects to devise more effective information management strategies and tools to set up and run information technology platforms. Copyright © 2012 John Wiley & Sons, Ltd.

The purposeof the article is to present the author’s approach to the study of information management when making managerial decisions by public administration bodies. In this paper, information management is consistently considered as an object, subject and method of information management. By the example of the content and correlation of such concepts as data and information, information and knowledge, the main obstacles to the transition of the state from the information economy to the digital economy are shown. The hypothesis is formulated that effective information management does not so much contribute to the formation of the added value of management processes, as it creates the potential for obtaining additional value of a management decision as an information product.Materials and methods. The research is based on the analysis of the processes of informatization of society and the state, as well as the analysis of the possibilities of information management for building a digital infrastructure and effective interaction of the subjects of the digital economy. Various aspects of information management are disclosed in accordance with the “subject-object-subject” and “subject-object-object” models. The problems of determining the quantity and quality of information are revealed in comparison with the attributive, functional-cybernetic and semiotic concepts of information. The information base of the research was made up of the results of scientific research in the field of decision-making in public administration and methodological approaches to information management used in science.Results. The main risks and problems of information management in decision-making by public administration bodies were identified. It is determined that knowledge becomes an economic resource not at the stage of its production, but at the stage of use. This resource allows you to create the added value of a management solution as an information product. It is proved that the role of the state in the dissemination and use of knowledge is provided by the unconditional desire of the individual to produce new knowledge. In addition, it is shown that for the transition to the digital economy, the state needs to create an information infrastructure in which openness and transparency of data are combined with equal opportunities for individuals in the economy (inclusive economy).Conclusion.Information management is a significant factor in the transition of the state from an information economy to the digital one. The simple accumulation of information and knowledge cannot be a guide for the transition to the digital economy. Information management from the perspective of creating and using additional information value will avoid the risk of mechanical informatization and uncontrolled digitalization. The state activities in this direction should be responsible and consistent. The volume of information increases as a result of the individual’s desire to produce new knowledge, but the social value of knowledge increases as a result of the effective impact of the state on the development of information infrastructure and the diffusion of information technologies. Thus, the realization of the potential of the additional value of information and its scaling on the basis of state-supported platform tools will allow for the transition from the information economy to the digital economy.

Database technology has always been a focal point of interest for enterprises and organizations in the field of information management. With the continuous growth and diversification of information, effective information management has become crucial. This paper aims to explore the extensive applications of database systems in information management. Firstly, the paper reviews relational and non-relational databases. Subsequently, it delves into the current applications of database systems in various domains, including enterprise management, retail, education, and government and public services. In the realm of enterprise management, database systems provide a solid foundation for information management by ensuring the timeliness, accuracy, and reliability of data. In the retail industry, they support inventory management, sales analysis, and enhance the user experience. In education, database systems are used for student information management, teaching data analysis, and online learning. In the government and public services sector, they facilitate information sharing and data transparency, while playing a critical role in crisis management and emergency response. This paper highlights the significance and diverse applications of database systems in different domains, offering insights into the current research trends and future prospects in this field.

One of the important features of the “new information age” is “big data”. In the age of big data, with the introduction of student information management systems, colleges and universities are increasingly paying attention to systematically managing student information management and improving their efficiency, effective management of student information and innovative development to build a new model of management system. In studying the evolution of student information management, big data technologies emerging in the information age play an important role. By leveraging big data to improve systematic management of student information, colleges and universities can manage student information faster and more efficiently and make new contributions to the advancement of student information management. In this article, information management is considered as the theoretical basis for research, big data technology is used as the main search algorithm, and its important content is combined to analyze and study the possibilities of the student information management system. In this article, an information management system for university students is used as a research object, which is optimized and improved through big data technologies. Big Data technology can be seen as a kind of algorithm for analyzing and processing data. Therefore, it can be used to create a student information management strategy. The experimental results show that this research has a better impact on the creation and implementation of an information management system for students using Big Data technology and the application of Big Data technology in the information management system for students.

PurposeThe advent of web services and the semantic web have opened up opportunities for a new generation of interoperable systems on the web. The purpose of this paper is to show the importance of semantics in design and construction, and how this has long been recognised and addressed to varying extents by researchers.Design/methodology/approachThere is now the potential for designs to be developed through a system of collaborating design services and for input by the construction team members. The potential also extends to the construction phase where the designers can provide more timely responses to problems encountered in the field. Within this environment, there is the need for effective mechanisms for design and construction information management, in addition to an ontology that facilitates the sharing of design and construction information and the underlying semantics. This paper explores these trends in collaborative design and construction, and presents an ontology‐based approach to project information management in a semantic web environment.FindingsThe findings include a framework for semantic web‐based information management (SWIMS), which provides for effective collaborative information management. Examples, based on design and construction information, are presented to illustrate the key concepts.Originality/valueThis paper presents an innovative approach to overcoming the limitations of conventional information management approaches in construction. The proposed approach is expected to enhance collaboration, and avoid information loss, overload and misunderstanding,

It has come as a fact that the use of Information and Communication Technologies has come to stay in this world. It aids the implementation of the emerging and irresistible e-government concept that seems to be the in-thing the world over. Zimbabwe has also joined the world by ascertaining its commitment to e-government as witnessed by its promulgation of various e-government services. However, despite the government of Zimbabwe having committed itself to e-government, it is of concern to note that up to this day, the country is operating without a clear information management policy or strategy that will guide and direct all the information management practitioners in the country. This comes as a great weakness in this day and age when the government of Zimbabwe has declared its intentions to subscribe to the e-government concept both in principle and in practice. Although the country has managed to survive without a clearly defined information policy in the pre e-government era, chances of it rolling out an effective and sustainable e-government policy on the same foundation are very slim, given the importance of well managed information as a pillar of sound e-government. The paper employed document analysis as its methodology in which Zimbabwe National Information and Communication Policy (ICT) Policy Framework of 2005 and the Ministry of Information Communication Technology’s (MICT) Strategic Plan (2010-2014) were reviewed and assessed the extent to which they sufficed to serve as information management frameworks that can support e-governance in Zimbabwe. The study revealed that there are ICT policies that are meant to serve as ICT strategies for the country but none of them has been put to test and such policies are very piecemeal at best as far as their coverage of information management is concerned. The first policy of such nature was the Zimbabwe National Information and Communication Policy (ICT) Policy Framework of 2005 that was developed by the government of Zimbabwe. This was followed by the Ministry of Information Communication Technology’s (MICT) Strategic Plan (2010-2014) which was being led by the then Minister Nelson Chamisa in the Government of National Unity (GNU). Following the dismantling of the GNU, the MICT was also dismantled and a new Ministry known as the Ministry of Information and Communication Technology, Postal and Courier Services that was headed by then Minister Webster Shamu came up with a new draft policy to guide ICT in Zimbabwe. Ironically, that new policy did not see the light as the then Minister was relieved of his duties and the new and incumbent Minister; Mr Supa Mandiwanzira came up with a new draft to guide the ICT operations in Zimbabwe. Despite all these developments, it remains of concern to notice that none of these policies ever prioritised information management as a strategic pillar of e-government. It is the argument of these authors that without the country’s e-government strategy being governed by a sound information management policy that will ensure the creation, management, and preservation of information, the concept will suffer the consequences in retrospect, to the detriment of the concept and the citizens. The study further revealed that the present policies are only addressing technical issues such as network and infrastructural issues of information management, yet other important aspects such as preservation, disposal and legal issues of information management are neglected. The study recommends a new framework that is comprehensive in terms of all the facets of information management. The framework covers all the relevant information management players such as archivists, librarians, records managers and the ICT personnel who should work together so as to collectively manage national information that support e-governance which Zimbabwe has just embarked on. The study further recommends that every government department has an information manager and the Ministry of Information and Broadcasting Services should be the one in charge of the information management framework and oversee its implementation.

William Kettinger and Donald Marchand attempt to operationalize the constructs that together help define the ‘knowing organization’. Their intention to develop a construct that measures the capability of companies to manage their information is a substantial undertaking. According to the life cycle of information management, ‘information management practices’ is defined as a second order construct that involves sensing, collecting, organizing, processing, and maintaining information to enhance its use for decision making. The authors develop measures for these five sub-capabilities. Empirical data were collected from multinational firms to test the construct with confirmatory factor analysis used as the major method for statistical analysis. The authors have created a model of information use and conducted an extensive evaluation across a broad array of institutions to validate this measure of information management practices. Considering that effective information management and usage have become an asset for firms to achieve competitive advantage and that there is no existing comprehensive measurement for this important capability, this paper is valuable to practitioners and academics since it can be used to compare firms' information management capabilities. This paper lays a foundation towards the improvement of organizational use of information. Kweku-Muata Osei-Bryson and Ojelanki Ngwenyama explore the potential of data mining technology, specifically decision tree generation, for providing support for systematic theory testing. This data mining technology is itself built on the principles of abductive inference and evaluating hypotheses based on Peirce's scientific method. They assert that this approach could assist scientists to explore alternative hypotheses for existing theories. They demonstrate their approach with empirical observations collected from twenty organizations in two countries using instruments from the user performance area of IS research, specifically task-technology fit and user satisfaction studies. The paper aims to help overcome the problem of the paucity of hypotheses for theory development in the positivist approach of Popper and others. The approach therefore aims to achieve significant savings in terms of the time and cost of conducting systematic theory testing and development. Stefan Henningsson and Sven Carlsson investigate the problem of information systems integration in the context of mergers and acquisitions. Information systems integration is critical for achieving the intended goals. The topic is eternal and timely in this current climate as financial institutions rise and fall and many of the challenges this brings are related to integrating information systems and maintaining operations. The authors have an ambitious approach as they try to combine existing research on both information systems integration and mergers and acquisitions with a multiple site case study into a model on information systems integration issues. They develop a six dimensional theoretical framework for information systems integration in corporate mergers and acquisitions. This can be used by companies since, through the combination of dimensions, it shows the information systems integration issues, decisions, and actions that a company has to address in the mergers and acquisitions process.

Explores the implications of one model associated with the changing business environment, for the nature of information management and the role of the information manager. Peters′ model of a successful business is characterized by an organization which: has niche oriented market creators; possesses a flat management structure with fewer layers; is fast in responding and adapting; has quality concerns; is internationalist, even if small; possesses smaller or stand‐alone business units within bigger organizations gain sharing, valuing participation and adding value through people. Argues that in such organizations, effective information management is of central importance, but may not always be easy to achieve. In particular, smaller businesses have a reputation for poor utilization of formal information systems. In such an environment it is especially important that informal information management approaches be exploited to the full. A better understanding of the strengths and weaknesses of informal and formal information management within smaller organizations and stand‐alone business units is essential for successful businesses.

The goal of this paper is to consider two distinct orientations toward learning within the context of twenty-first-century higher education that have implications for assessment of outcomes internationally—information management and knowledge building. These two orientations are compared and contrasted along various dimensions, and potential contributors to the pervasiveness of the information management profile within the current generation of undergraduates are explored. With this background established, pertinent steps toward fostering more effective information management and enhancing knowledge building in higher education contexts are shared with specific attention to the role of assessment practices.

Project information management in architecture, engineering, and construction (AEC) projects can be a challenging endeavor due to the complex nature of projects and the numerous sources and types of information required, including drawings, plans, specifications, and building information modeling (BIM), among others. AEC projects require stakeholders to develop temporary teams, develop work processes, and collaborate across organizational boundaries. Additionally, the numerous technologies used in information management, such as project management software, scheduling software, and BIM, require contractual agreements among project stakeholders to address these technologies’ potential risks while still allowing stakeholder collaboration to benefit project execution and delivery. Contracts are used to define project requirements and can be used to define different aspects of project information management, like required deliverables or stakeholder roles and responsibilities. While recent research has evaluated the relationship between BIM and contracts, there is a gap in understanding the relationship between contracts and information management more holistically. The objectives of this research were to gain insight into how contracts impact information management, identify barriers that exist in contracts related to information management, and to develop potential contract-related strategies to improve information management on AEC projects. Researchers implemented a qualitative analysis approach through semistructured interviews with 38 AEC professionals and the application of a systematic and iterative qualitative coding process. This research found that contracts can be used as a tool to influence the development and execution of project information management strategies. Specifically, contracts can be used to define deliverables, workflows, and software, as well as templates and forms. While interviewees discussed many contract-related challenges, they also proposed potential contract-related strategies to improve project information management. These strategies encompass three main categories: improving contract compliance, contract flexibility, and setting expectations. These findings provide insight into how contracts can impact project information management and provide practitioners with specific contract strategies to improve project information management.

During a crisis, organisations face a major unpredictable event with potentially negative consequences. Effective information management and assurance can assist the organisation in making sure that they have the correct information in a secure format to make decisions to recover their operations. The main elements of effective information management and assurance are confidentiality, integrity and availability, combined with non-repudiation. Should an element of effective information management or assurance be removed it can have a detrimental effect on the other elements and render the information management and assurance practices of the organisation ineffectual.

The coronavirus (COVID-19) outbreak poses a substantial threat to public health. Individual efforts to engage in COVID-19 precautionary behaviors are necessary to flatten the pandemic’s curve in the waiting period before a vaccine is developed. This study sought to apply the Theory of Motivated Information Management to investigate the relationships among COVID-19 illness uncertainty, information management, and actual precautionary behaviors, both preparatory and preventative. The results of a national opt-in online panel demonstrate that uncertainty discrepancy, anxiety, and information management strategies are key predictors of the adoption of COVID-19 preparation and prevention behaviors. The results further identify diverging associations across age groups with respect to associations between information management and precautionary behaviors. Implications for theory and practice are discussed.

Effective information and knowledge management is vital in many areas, including higher education. The use of artificial intelligence (AI) technology, especially the long short-term memory (LSTM) information system performance patterns in the educational world. This article explores the application of LSTM to optimize knowledge management in colleges, focusing on the prediction of information systems performance. The proposed methods include text classification steps, with measures such as data collection, data pre-processing, word representation, classification, and evaluation. The test results showed that the LSTM model managed to classify reviews labeled positive, neutral, and negative with an accuracy of 33.33%. However, the success of the model was limited by the size of the data set and the pre-processing involved. This research recommends further development with the addition of experimental data, proper preprocessing adjustments, and better hyperparameter identification to improve the accuracy of the prediction results. Keywords: information management, artificial intelegence, LSTM, text classification, knowledge management, accurate prediction